L.P. Aref’eva – Ph.D (Phys.-Math.), Associate Professor, Don State Technical University (Rostov-on-Don)
E-mail: Ludmilochka529@mail.ru
Yu.V. Dolgachev – Ph.D. (Eng.), Associate Professor, Don State Technical University (Rostov-on-Don)
E-mail: yudol@mail.ru
Statement of the problem. The main directions of the modern materials science are the creation of new and improving the quality of existing materials. Rough surfaces have the property of self-similarity, therefore, fractal analysis methods can be applied to them. Using the value of the fractal dimension, we can uniquely describe the complexity of the surface morphology. Scanning probe microscopy allows you to visualize the surface of the material and determine its characteristics, in particular, roughness, waviness, fractal dimension.
Aim of the work. The aim of our work was obtained and analyzed the topology of the polished surface of structural carbon and tool alloy steels, as well as establishing the fractal dimension of surfaces.
Results. In this work, we studied the surface of 1040 (ASTM) and T31507 steels by scanning tunneling microscopy. The optical emission analysis was performed to clarify the chemical composition of the samples. Next, the samples were ground and polished. Surface etching was not carried out. The surface topology of the samples was obtained using a scanning tunneling microscope "UMKA-02-E" in direct current mode. The resulting two-dimensional and three-dimensional images were processed and analyzed in the Gwyddion modular data analysis program. Analysis of the surface of the samples allows us to conclude that the structural formations are uniformly distributed and have dimensions of the order of tens of nanometers. Analysis of surface profiles shows that the structural formations have one peak and their shape and sizes are similar. Thus, fractal analysis can be applied to the surfaces under investigation. The fractal dimension of surfaces was determined by the method of counting cubes. It was found that for a sample of T31507 steel Df = 2.448 ± 0.013, for steel 1040 (ASTM) Df = 2.43553 ± 0.015. The average roughness is 72,27 and 45,21 nm for the surfaces of steels T31507 and 1040 (ASTM), respectively. Also we determine the value of relief waviness. Our results are consistent with the theoretical concepts about correlation values of the roughness and the fractal dimension of surface.
Practical significance. The analysis of the surface topology showed that scanning tunneling microscopy makes it possible to uniquely characterize the micro- and nanostructure of steel.
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